Technical plots for CMS speakers (click on plots to get larger pdf versions)

SM Backgrounds

Figure 1a : Background composition in zero-lepton search region (inclusive in and ) in bins of the number of jets and the number of b-tagged jets. The expected contribution from each process is obtained from simulation after applying the full baseline selection.

Figure 1b : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with GeV and GeV.

Figure 1c : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with GeV and GeV.

Figure 1d : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with GeV and GeV.

Figure 1e : Background composition in zero-lepton search region in bins of the number of jets and the number of b-tagged jets for simulated events with GeV and GeV.

Figure 2a : The lost-lepton background as a function of as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted'" results.

Figure 2b : The lost-lepton background as a function of as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted" results.

Figure 2c : The lost-lepton background as a function of the number of jets as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted" results.

Figure 2d: The lost-lepton background as a function of the number of b-tagged jets as determined directly from ttbar, single top quark, W+jets, diboson, and rare-event simulation (points, with statistical uncertainties) and as predicted by applying the lost-lepton background determination procedure to simulated electron and muon control samples (histograms, with statistical uncertainties). The results in the lower panel are obtained through bin-by-bin division of the results in the upper panel, including the uncertainties, by the central values of the "predicted" results.

Figure 3a : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of . The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.

Figure 3b : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of . The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.

Figure 3c : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of the number of jets. The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.

Figure 3d : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of the number of b-tagged jets. The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.

Figure 4 : Comparison of the number of expected lost-lepton background events in the zero (selected) lepton search region (histogram, with statistical uncertainties) and the sum of single electron and muon control sample events (points, with statistical uncertainties) as a function of the search region bin number of the analysis. The simulation includes ttbar, single top quark, W+jets, diboson, and rare-event simulation.

Figure 5 : The hadronically-decaying lepton () response templates: distributions of the ratio of visible- to true-, , in intervals of as determined from a simulation of single decay events.

Figure 6a : Distributions of in background events with a hadronically decaying lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.

Figure 6b : Distributions of in background events with a hadronically decaying lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.

Figure 6c : Distributions of the number of jets in background events with a hadronically decaying lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.

Figure 6d : Distributions of the number of b-tagged jets in background events with a hadronically decaying lepton as predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the hadronically decaying lepton background determination procedure to simulated muon control sample (shaded regions), for the baseline selection. The simulation includes ttbar, W+jets, and single top quark process events.

Figure 7a : Distribution of in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 7b : Distribution of in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 7c : Distribution of the number of jets in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 7d : Distribution of the number of b-tagged jetsin background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 8a : Distribution of the azimuthal separation between the and the first jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 8b : Distribution of the azimuthal separation between the and the second jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 8c : Distribution of the azimuthal separation between the and the third jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 8d : Distribution of the azimuthal separation between the and the fourth jet in background events with QCD multi-jet events predicted directly from simulation (points, with statistical uncertainties) and as predicted by applying the rebalance and smear background determination procedure to a simulated QCD sample (shaded regions), after a modified baseline event selection.

Figure 9a : Distribution of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted selection applied to enhance the QCD yield.

Figure 9b: Distribution of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted selection applied to enhance the QCD yield.

Figure 9c : Distributions of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted selection applied to enhance the QCD yield.

Figure 9d : Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted selection applied to enhance the QCD yield.

Figure 9e: Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted selection applied to enhance the QCD yield.

Figure 9f : Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in various control regions with the inverted selection applied to enhance the QCD yield.

Figure 10a : Distributions of the multiplicity of jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in the low-, inverted control region.

Figure 10b : Distributions of the multiplicity of b-tagged jets as observed (points, with statistical uncertainties) and as predicted by applying the data-driven methods of background determination (shaded distributions with statistical and systematic uncertainties added in quadrature), in the low-, inverted control region.

Figure 10c : The distribution of the significance of deviation between the QCD prediction and inferred QCD count in the 174 inverted signal region bins. Here, the inferred QCD count is the observed count minus the predicted electroweak background count.

Figure 11a : Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.

Figure 11b : Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.

Figure 11c : Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties.

Figure 12a: Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties. The solid blue line shows the straight-line fit, with the uncertainties propagated as blue dashed lines.

Figure 12b: Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties. The solid blue line shows the straight-line fit, with the uncertainties propagated as blue dashed lines.

Figure 12c: Distribution of vs. with baseline selection applied. Points with error bars show the computed value in each bin with statistical uncertainties. The solid blue line shows the straight-line fit, with the uncertainties propagated as blue dashed lines.

Figure 13a: The dimuon invariant mass distribution of the control region with baseline selection applied.

Figure 13b: The dielectron invariant mass distribution of the control region with baseline selection applied.

Figure 14: Distribution of with baseline selection applied in the 46 search bins with . Points with error bars show the computed value in each bin with statistical uncertainties.

Figure 15: Distribution of single photon event yields with baseline selection applied in the 46 search bins with . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.

Figure 16a: Distribution of single photon event yields with baseline selection applied and versus . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.

Figure 16b: Distribution of single photon event yields with baseline selection applied and versus . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.

Figure 16c: Distribution of single photon event yields with baseline selection applied and versus . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.

Figure 16d: Distribution of single photon event yields with baseline selection applied and versus . Points with error bars show the observed event yields. Filled histograms show the predicted event yields from simulations.

Figure 17: Measured photon purity versus . The solid points with errors show the purity for events with a photon reconstructed in the barrel; open points with errors show the purity for events with a photon reconstructed in the endcap.

Figure 18a : The sensitivity of the analysis to different direct gluino production signal models as a function of the analysis binning. The upper panel shows the total predicted SM backgrounds and the expected number of signal events in 35.9 of data for six representative model points per analysis bin. The bottom panel shows the expected sensitivity, expressed in terms of the figure of merit Q, per analysis bin.

Figure 18b : The sensitivity of the analysis to different direct squark production signal models as a function of the analysis binning. The upper panel shows the total predicted SM backgrounds and the expected number of signal events in 35.9 of data for six representative model points per analysis bin. The bottom panel shows the expected sensitivity, expressed in terms of the figure of merit Q, per analysis bin.

Figure 21a : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T1tttt signal scenario with GeV and GeV is shown by the (stacked) purple histogram.

Figure 21b : The same distributions shown in Add. Fig. 21a, with the pull for each bin, defined as , shown in the lower panel of the plot.

Figure 21c : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T1bbbb signal scenario with GeV and GeV is shown by the (stacked) purple histogram.

Figure 21d : The same distributions shown in Add. Fig. 21c, with the pull for each bin, defined as , shown in the lower panel of the plot.

Figure 21e : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T1qqqq signal scenario with GeV and GeV is shown by the (stacked) purple histogram.

Figure 21f : The same distributions shown in Add. Fig. 21e, with the pull for each bin, defined as , shown in the lower panel of the plot.

Figure 21g : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T2tt signal scenario with GeV and GeV is shown by the (stacked) purple histogram.

Figure 21h : The same distributions shown in Add. Fig. 21g, with the pull for each bin, defined as , shown in the lower panel of the plot.

Figure 21i : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T2bb signal scenario with GeV and GeV is shown by the (stacked) purple histogram.

Figure 21j : The same distributions shown in Add. Fig. 21i, with the pull for each bin, defined as , shown in the lower panel of the plot.

Figure 21k : Observed numbers of events and corresponding SM background predictions in intervals of and , integrated over search regions with GeV and GeV. An example T2qq signal scenario with GeV and GeV is shown by the (stacked) purple histogram.

Figure 21l : The same distributions shown in Add. Fig. 21k, with the pull for each bin, defined as , shown in the lower panel of the plot.

Event displays

Figure 24a : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.

Figure 24b : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.

Figure 24c : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.

Figure 24d : Event displays for a SUSY candidate event with 15 jets in the search region, 277070:806:1490128097 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the non b-tagged jets are marked and labeled in orange and the momentum of the b-tagged jet is marked in green.

Figure 25a : Event displays for a SUSY candidate dijet event with very high in the search region, 277194:1454:2573527294 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.

Figure 25b : Event displays for a SUSY candidate dijet event with very high in the search region, 277194:1454:2573527294 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.

Figure 25c : Event displays for a SUSY candidate dijet event with very high in the search region, 277194:1454:2573527294 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.

Figure 25d : Event displays for a SUSY candidate dijet event with very high in the search region, 277194:1454:2573527294 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the two jets are marked and labeled in orange.

Figure 26a : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.

Figure 26b : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.

Figure 26c : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.

Figure 26d : Event displays for a T1bbbb-like candidate in the search region with exactly 4 jets, all of which are b-tagged, 277087:815:881281212 in (a) view, (b) view with a white background, (c) 3D view, and (d) 3D view with a white background. The momenta of the four b-tagged jets are marked and labeled in green.

Additional interpretation

Figure 27a : Survival probability, defined as the fraction of model points that are not excluded at 95% CL as computed using the CLs criterion, in the plane, for the signal model points in a pMSSM-19 scan [1]. For small mass, the range of excluded gluino mass exceeds typical SMS limits; this is mostly due to the presence of relatively light squarks in pMSSM model points with large gluino mass, which are not present in simplified models. White space indicates where the density of scan points is 0.

Figure

Caption

Figure 27b : Survival probability, defined as the fraction of model points that are not excluded at 95% CL as computed using the CLs criterion, in the plane, for the signal model points in a pMSSM-19 scan [1]. LCSP denotes the lightest colored SUSY particle. White space indicates where the density of scan points is 0.

Figure 28a : Posterior density, computed using the methodology described in [1], in the plane of the pMSSM-19. The "counts-based" construction is used for computation of the likelihood. The peak in the posterior density at low is due to the requirement that all four neutralino masses be less than 3 TeV in the parameter scan.

Figure

Caption

Figure 28b : Posterior density, computed using the methodology described in [1], in the plane of the pMSSM-19, where LCSP denotes the lightest colored SUSY particle. The "counts-based" construction is used for the computation of the likelhood.

AnalysisBins_BTag0_RzGamma_Run2_signal_ZJets_supplementary.pdf: Distribution of $R_{{\rm Z}/\gamma}$ with baseline selection applied in the 46 search bins with $N_{\rm b-jet}=0$. Because of limited statistical precision in the simulated event samples at large $N_{\rm jet}$, the transfer factors determined for the $8\leq$N_{\rm jet}$\leq 9$ region are also used for the $N_{\rm jet}10$ region. Points with error bars show the computed value in each bin with statistical uncertainties.

Distribution of $R_{{\rm Z}/\gamma}$ with baseline selection applied in the 46 search bins with $N_{\rm b-jet}=0$. Because of limited statistical precision in the simulated event samples at large $N_{\rm jet}$, the transfer factors determined for the $8\leq$N_{\rm jet}$\leq 9$ region are also used for the $N_{\rm jet}10$ region. Points with error bars show the computed value in each bin with statistical uncertainties.: